Driven by recent advances AI, we passengers are entering a golden age of scientific discovery. But golden for whom? Confronting our insecurity that others may beat us to the most acclaimed breakthroughs of the era, we propose a novel solution to the long-standing personal credit assignment problem to ensure that it is golden for us. At the heart of our approach is a pip-to-the-post algorithm that assures adulatory Wikipedia pages without incurring the substantial capital and career risks of pursuing high impact science with conventional research methodologies. By leveraging the meta trend of leveraging large language models for everything, we demonstrate the unparalleled potential of our algorithm to scoop groundbreaking findings with the insouciance of a seasoned researcher at a dessert buffet.

翻译：受近期人工智能进步的推动，我们这些乘客正步入科学发现的黄金时代。但这对谁来说是黄金时代？面对他人可能抢先摘取本时代最受赞誉突破的不安感，我们提出了一种解决长期存在的个人功劳分配问题的新方案，以确保这个时代对我们而言仍是黄金时代。该方法的核心是一种"直击要害"算法，该算法能保证维基百科页面获得赞誉，同时避免采用传统研究方法追求高影响力科学所需承担的重大资本和职业风险。通过利用将大型语言模型应用于一切的元趋势，我们展示了算法在抢先将突破性发现公之于众方面的无与伦比的潜力，其轻松自如堪比一位资深研究员面对甜品自助餐。